Rampez — CS2 Stats

FI76561198971327132[U:1:1011061404]Steam profile ↗✓ No bans

617Tracked matches54%Win rate2020Tracked since

1,538Hours in CS

CSDB Rating5.1 DevelopingPositional Player

CSDB Leaderboard#59038 of 238466 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 23 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,469 +1,811 23 Nov – 3 Jan · 17 days played

21,469Peak Premier in tracked matches

45Days played since 2025-11-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,544), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 2 median	Level 3 median	vs Level 3
Headshot rate	42.4%	41.3%	41.9%	meets
Shot accuracy	13.2%	12.7%	12.2%	above
Kill/death ratio	0.99	0.95	0.98	meets
Match win rate	41.8%	42.5%	43.3%	1.5% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning59

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY37–51–12Last 10037%Win rateWLLLWTWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.3pp headshot accuracy · +95ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 662ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 680ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 633ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim4.9

Utility5.0

Positioning5.9

Opening Duels2.6

Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 73% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.9

Positioning5.9

Utility5.0

Mechanics5.8

Opening Duels2.5

Win Impact6.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time636ms+20ms

first ⅓ avg 615ms → last ⅓ avg 636ms

Headshot accuracy15.4%+0.9%

first ⅓ avg 14.5% → last ⅓ avg 15.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 9–4 · rooftop, 19 Dec →

31%Best headshot accuracy · 13–8 · anubis, 29 Jun →

375msFastest reaction time · 6–13 · inferno, 23 Dec →

13–0Biggest win · train, 20 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 47% over 19mirageWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	23	7–16	30%	-0.02
ancient	B	19	9–10	47%	-0.01
dust2	C	18	8–10	44%	-0.04
anubis	C	9	4–5	44%	-0.00
inferno	D	7	2–5	29%	-0.08
mirage	D	5	0–5	0%	-0.03
train	C	5	2–3	40%	0.04
overpass	—	4	1–3	25%	-0.01
vertigo	—	3	0–3	0%	-0.04
rooftop	—	2	1–1	50%	0.07
office	—	2	0–2	0%	0.01
cache	—	1	1–0	100%	-0.06
stronghold	—	1	1–0	100%	-0.03
alpine	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,268Lifetime kills

0.99K/D · Top 50% of Level 2 players

2,587Matches

41.8%Match win rate

42.4%Headshot % · Top 50% of Level 2 players

13.2%Shot accuracy · Top 50% of Level 2 players

7,638MVPs

1,538Hours (in match)

1,609Bombs planted

972Bombs defused

Most-used weapons

AK-4716,700

M4A4 / M4A1-S7,233

AWP5,697

P2000 / USP-S3,076

Glock-182,534

Desert Eagle1,976

Galil AR1,372

MP91,044

FAMAS810

AUG684

Lifetime map wins

2,852dust2

2,647nuke

2,367inferno

1,727train

1,278vertigo

324cbble

303lake

116office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

89Matches

49%Win rate

1.10Avg K/D

59.1ADR

33%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	2	0%	0.58	11.5
Inferno	1	0%	0.83	10.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy

29.6%Accuracy (enemy spotted)

32.3%Spray accuracy

76.0%Counter-strafing

9.6°Preaim

622msReaction time

39.1%T opening success

40.8%CT opening success

0.61Enemies flashed / flash

4.8%Flash assists

6.03HE damage / grenade

10.26Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.1226% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–2	-0.05	0%	15 Aug →
vertigo	5–13	-0.08	6%	14 Aug →
mirage	4–13	0.01	20%	14 Aug →
ancient	7–13	0.01	15%	14 Aug →
ancient	13–8	0.06	17%	8 Jul →
nuke	8–8	0.05	21%	6 Jul →
anubis	13–8	-0.02	31%	29 Jun →
train	13–9	0.05	19%	29 Jun →
cache	13–5	-0.06	18%	24 Jun →
ancient	2–13	-0.05	14%	24 Apr →
overpass	5–13	0.01	15%	24 Apr →
nuke	13–10	-0.01	18%	16 Apr →
dust2	5–13	-0.02	7%	12 Apr →
overpass	2–13	-0.06	29%	6 Apr →
dust2	11–13	-0.04	12%	6 Apr →
inferno	3–13	-0.06	7%	12 Mar →
anubis	9–13	0.01	6%	8 Mar →
ancient	12–12	-0.02	10%	26 Feb →
dust2	13–8	-0.05	0%	6 Feb →
nuke	13–2	-0.02	14%	5 Feb →
dust2	13–7	-0.01	17%	5 Feb →
mirage	10–13	-0.06	26%	4 Feb →
anubis	13–4	0.01	17%	23 Jan →
inferno	13–4	0.02	25%	23 Jan →
stronghold	13–10	-0.03	17%	22 Jan →
alpine	13–3	0.09	10%	22 Jan →
anubis	11–13	0.06	16%	9 Jan →
train	12–12	0.04	25%	3 Jan →
train	10–13	0.01	18%	3 Jan →
nuke	16–14	0.00	13%	3 Jan →
ancient	13–11	-0.05	16%	2 Jan →
dust2	13–6	-0.03	20%	30 Dec →
mirage	11–13	-0.04	13%	30 Dec →
ancient	16–14	0.02	8%	28 Dec →
nuke	13–6	-0.01	13%	28 Dec →
nuke	13–11	-0.00	5%	28 Dec →
dust2	5–13	-0.07	29%	28 Dec →
dust2	11–13	-0.05	27%	28 Dec →
rooftop	5–9	-0.04	9%	28 Dec →
nuke	6–9	-0.04	26%	28 Dec →
mirage	11–13	-0.07	16%	27 Dec →
ancient	11–13	-0.03	12%	27 Dec →
mirage	8–13	0.02	29%	26 Dec →
dust2	16–14	-0.03	10%	26 Dec →
ancient	13–5	0.03	10%	26 Dec →
nuke	10–13	-0.04	8%	25 Dec →
ancient	6–13	-0.03	16%	25 Dec →
dust2	13–8	-0.01	13%	25 Dec →
nuke	6–13	-0.07	11%	25 Dec →
overpass	8–13	-0.00	6%	24 Dec →
nuke	8–13	-0.06	2%	23 Dec →
ancient	13–8	-0.03	5%	23 Dec →
nuke	4–13	-0.09	0%	23 Dec →
dust2	6–13	-0.07	11%	23 Dec →
inferno	6–13	-0.11	0%	23 Dec →
dust2	16–14	-0.01	9%	23 Dec →
vertigo	12–12	-0.01	13%	22 Dec →
nuke	6–13	-0.10	10%	21 Dec →
inferno	8–13	-0.06	0%	21 Dec →
vertigo	12–12	-0.03	12%	21 Dec →
nuke	7–13	0.00	16%	20 Dec →
dust2	13–9	-0.03	20%	20 Dec →
dust2	13–8	-0.04	11%	20 Dec →
train	13–0	0.04	28%	20 Dec →
nuke	5–13	0.03	16%	19 Dec →
rooftop	9–4	0.18	20%	19 Dec →
ancient	13–8	-0.01	9%	18 Dec →
dust2	11–13	-0.05	16%	18 Dec →
ancient	13–10	-0.02	13%	18 Dec →
dust2	2–13	-0.10	11%	13 Dec →
dust2	12–12	-0.02	12%	12 Dec →
anubis	13–7	-0.05	14%	12 Dec →
anubis	13–10	-0.04	13%	12 Dec →
anubis	9–13	0.01	8%	11 Dec →
ancient	13–9	0.03	10%	11 Dec →
nuke	9–13	0.01	26%	7 Dec →
train	12–12	0.08	19%	7 Dec →
anubis	12–12	0.01	17%	6 Dec →
dust2	12–12	-0.02	17%	6 Dec →
ancient	6–13	-0.06	24%	6 Dec →
ancient	8–13	0.03	15%	5 Dec →
nuke	8–13	-0.04	13%	5 Dec →
overpass	13–8	0.04	20%	4 Dec →
ancient	13–1	-0.03	25%	4 Dec →
nuke	3–13	-0.05	5%	30 Nov →
nuke	8–8	-0.06	13%	30 Nov →
nuke	13–10	-0.04	4%	30 Nov →
inferno	7–13	-0.04	5%	30 Nov →
dust2	6–13	-0.02	13%	30 Nov →
ancient	10–13	-0.03	15%	29 Nov →
nuke	5–9	-0.04	15%	29 Nov →
nuke	9–2	0.15	18%	28 Nov →
office	11–13	-0.01	5%	28 Nov →
anubis	12–12	0.01	18%	28 Nov →
ancient	4–13	-0.06	17%	28 Nov →
office	5–13	0.02	14%	28 Nov →
nuke	8–8	-0.10	16%	27 Nov →
inferno	0–9	-0.28	18%	27 Nov →
nuke	4–13	-0.00	8%	23 Nov →
ancient	6–13	-0.01	22%	23 Nov →